Datasets

A data processing toolkit for ingesting, transforming, querying, and managing dataset entries from the command line. All operations are logged with timestamps and stored locally.

Commands

Data Operations

Each data command works in two modes: run without arguments to view recent entries, or pass input to record a new entry.

Command	Description
INLINECODE0	Ingest data — record a new ingest entry or view recent ones
INLINECODE1

Transform data — record a transformation or view recent ones |
| datasets query <input> | Query data — record a query or view recent ones |
| datasets filter <input> | Filter data — record a filter operation or view recent ones |
| datasets aggregate <input> | Aggregate data — record an aggregation or view recent ones |
| datasets visualize <input> | Visualize data — record a visualization or view recent ones |
| datasets export <input> | Export data — record an export entry or view recent ones |
| datasets sample <input> | Sample data — record a sample or view recent ones |
| datasets schema <input> | Schema management — record a schema entry or view recent ones |
| datasets validate <input> | Validate data — record a validation or view recent ones |
| datasets pipeline <input> | Pipeline management — record a pipeline step or view recent ones |
| datasets profile <input> | Profile data — record a profile or view recent ones |

Utility Commands

Command	Description
INLINECODE12	Show summary statistics — entry counts per category, total entries, disk usage
INLINECODE13

Export all data to a file (formats: json, csv, txt) | | datasets search <term> | Search all log files for a term (case-insensitive) | | datasets recent | Show last 20 entries from activity history | | datasets status | Health check — version, data directory, entry count, disk usage, last activity | | datasets help | Show available commands | | datasets version | Show version (v2.0.0) |

Data Storage

All data is stored locally at ~/.local/share/datasets/:

• - Each data command writes to its own log file (e.g., ingest.log, transform.log)
• Entries are stored as timestamp|value pairs (pipe-delimited)
• All actions are tracked in history.log with timestamps
• Export generates files in the data directory (export.json, export.csv, or export.txt)

Requirements

• - Bash (with set -euo pipefail)
• Standard Unix utilities: date, wc, du, grep, tail, cat, INLINECODE37
• No external dependencies or API keys required

When to Use

• - To log and track data processing operations (ingest, transform, query, etc.)
• To maintain a searchable history of data pipeline activities
• To export accumulated records in JSON, CSV, or plain text format
• As part of larger automation or data-pipeline workflows
• When you need a lightweight, local-only dataset operation tracker

Examples

CODEBLOCK0

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